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kevynf

AKBridge MCP Server

by kevynf

macro_usa_job_cuts

Read-onlyIdempotent

Retrieve historical US Challenger job cuts reports from 1994 onward to track corporate layoffs and analyze labor market shifts.

Instructions

美国挑战者企业裁员人数报告, 数据区间从 19940201-至今 https://datacenter.jin10.com/reportType/dc_usa_job_cuts :return: 美国挑战者企业裁员人数报告 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds the data range from 19940201 to present and specifies the return type as pandas.DataFrame, which is useful context. It does not elaborate on data columns or update frequency, but for a no-parameter, read-only report this is sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, but it includes redundant :return: and :rtype: lines that essentially repeat the first sentence. The URL adds source context but could be removed or integrated without loss of clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, parameterless tool that returns a DataFrame, the description provides the essential facts: what data is included (Challenger enterprise layoffs), the time range, and the return type. It lacks a breakdown of columns or caveats, but given the simplicity and lack of output schema, it is reasonably complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the schema coverage is vacuous at 100%. No parameter explanation is needed, and the description appropriately avoids inventing details. A baseline score of 4 is appropriate for zero-parameter tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as providing the U.S. Challenger enterprise layoffs report with a specific date range, distinguishing it from sibling macro indicators. However, it lacks an explicit action verb like 'returns' or 'gets,' and the first sentence essentially repeats the title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as macro_usa_non_farm or macro_usa_initial_jobless. The description does not mention any exclusions, comparisons, or context for choosing this specific report.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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